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November 20, 2017
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A general approximation method for bicriteria minimization problems
Many applications in operations research require the simultaneous optimization of multiple (typically mutually opposing) objective functions. Since the general problem is usually computationally intractable, bicriteria optimization restricts itself to two objectives while approximate... more
Quote
This paper proposes an encryption scheme that possesses the following property: Whatever is efficiently computable about the cleartext given the cyphertext, is also... more
- Silvio Micali & Shafi Goldwasser (1984)
Articles
A survey of imperatives and action representation formalisms: Artificial Intelligence Review

What is an action? The agent observes two states at different times; if there is a change, then an action occurred. This implicit definition of action is adopted in this paper. At the beginning of artificial... more

KR Formalisms & Methods (I.2.4) | Nov 20 17

The Ulam programming language for artificial life: Artificial Life

The most amazing information processing imaginable can be seen in biology: a fertilized egg grows into an adult, a seed to a tree. Biological information processing can be thermodynamic (1010b/sec to 1015b/sec per... more

Programming Languages (D.3) | Nov 17 17

The logical view on continuous Petri nets: ACM Transactions on Computational Logic

The reachability problem for standard Petri nets is EXPSPACE hard, and the coverability problem is EXPSPACE complete. However, more efficient algorithms exist for variants of the standard nets... more

Automata (F.1.1...) | Nov 17 17

Numerically aware orderings for sparse symmetric indefinite linear systems: ACM Transactions on Mathematical Software

The LDLT decomposition of a real symmetric matrix where L is lower triangular with unit diagonal and D diagonal except for 2x2 blocks is a challenge... more

Numerical Linear Algebra (G.1.3) | Nov 16 17

I need your encouragement!: CHI 17

Exam anxiety can make students seriously underperform. Can supportive comments through social media help release exam anxiety? In this paper, Deloatch et al. try to answer this question. Their experiment investigates how supportive... more

Social Networking (H.3.4...) | Nov 15 17

A low-cost and high-performance architecture for robust human detection using histogram of edge oriented gradients: Microprocessors & Microsystems

Due to their programmability and hardware parallelism, field-programmable gate arrays (FPGAs) will be widely used to speed up... more

Microprocessors & computers (B.7.1...) | Nov 13 17

Discovering user behavioral features to enhance information search on big data: ACM Transactions on Interactive Intelligent Systems

Cassavia et al. reduce theory into practice in this paper. All too often, the disciplines we live in exist abstractly with theories or dense algorithms. The authors... more

Management (D.2.9) | Nov 10 17

A general approximation method for bicriteria minimization problems: Theoretical Computer Science

Many applications in operations research require the simultaneous optimization of multiple (typically mutually opposing) objective functions. Since the general... more

Optimization (G.1.6) | Nov 9 17

Cyber security and the role of intelligent systems in addressing its challenges: ACM Transactions on Intelligent Systems and Technology

Individuals, organizations, and societies have come to rely more and more on computational infrastructure, ranging from our personal computing devices to... more

Intelligent Agents (I.2.11...) | Nov 8 17

Dual graph regularized NMF model for social event detection from Flickr data: World Wide Web

Over time, Flickr has become a very large photo and video repository, claiming more than 13 billion photos available onsite. It sounds logical that many people are beginning to consider it... more

Multimedia Databases (H.2.4...) | Nov 7 17

Books
The habit-forming guide to becoming a systems thinker

This is a new and fresh publication from the Waters Foundation that pulls back the curtain on the wizards of systems thinking, so to speak, to eliminate the mystery of this important, but often obtuse, body of knowledge... more
General (D.0) | Nov 20 17

Mobile sensors and context-aware computing

I am disappointed in this book. I’m an engineer designing distributed Internet of Things (IoT) systems as well as a part-time college instructor, and I was hoping for a future-oriented discussion of the... more
Real-Time & Embedded Systems (C.3...) | Nov 16 17

From neuron to cognition via computational neuroscience

An old aphorism says that, if our brains were simple enough to be understood, we wouldn’t be smart enough to understand them. Fortunately, many scientists are not so pessimistic, and they are unrelentingly... more
Applications & Expert Systems (I.2.1) | Nov 15 17

Fundamentals of computer graphics (4th ed.)

Computer graphics is an area of computer science that studies methods to generate and manipulate images using computers. One of the most popular books for teaching and learning computer graphics is this book, also... more
General (I.3.0) | Nov 14 17

Fundamentals of IP and SoC security: design, verification, and debug

The ubiquity of connected devices (smartphones, home assistants, health trackers, and emerging autonomous cars) can be attributed to the advancement of shrinking semiconductor technology. Apart from the... more
General (B.7.0) | Nov 14 17

Encyclopedia of applied and computational mathematics

Encyclopedia of applied and computational mathematics (EACM) is a comprehensive reference work covering the vast field of applied and computational mathematics. The emphasis on computation reflects growing... more
General (G.0) | Nov 13 17

Reactive programming with Angular and ngrx

Many programmers may not be aware of the fact that JavaScript has a powerful functional programming subset. The use of callbacks is very common, but is only a small part of how functional techniques can improve the conciseness, readability, and maintainability... more
Object-Oriented Programming (D.1.5) | Nov 9 17

Lifelong machine learning

Machine learning (ML) is fundamental to defining how a machine can learn from datasets and present this information in the way the user desires. This brings two separate paradigms together--computing and statistics. We have experienced the evolution of ML in... more
Learning (I.2.6) | Nov 9 17

The probability lifesaver

The theoretical foundations of probability have been developed over nearly four centuries. This legacy is both a blessing and a curse. It is a blessing because it is so rich and diverse, offering many results whose relations to one another, obscure at first glance, form a... more
Mathematics & Statistics (J.2...) | Nov 8 17

Technology, society and sustainability: selected concepts, issues and cases

The predominant nation represented in this book is Poland, however additional nations represented include Greece, Germany, Israel, Portugal, Australia, India, China, Italy, Bulgaria, the Netherlands... more
Organizational Impacts (K.4.3) | Nov 8 17


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